We use two popular object segmentation datasets, namely, Davis [1]} and YouTube-VOS [2]} in the experiment. During training, the original videos \(\mathbf {V}\)  are prepared by selecting the data from the whole Davis dataset and YouTube-VOS train set. We use the YouTube-VOS test set to test our model. The tampering masks are the annotation images corresponding to the video frames in the object segmentation datasets.
